code: def test_repeat_vector_with_dynamic_batch_size(self):
      input_layer = layers.Input(batch_shape=(None, 5))
      repeated = layers.RepeatVector(n=3)(input_layer)
      self.assertEqual(repeated.shape, (None, 3, 5))
  
file_path: keras/keras/layers/reshaping/repeat_vector_test.py
imports: import numpy
  import pytest
  from keras import layers
  from keras import ops
  from keras import testing
label_desc: Use image node_id 2 for calling the FlattenTest obj's underlying member method code with example usage: obj.test_repeat_vector_with_dynamic_batch_size() without return types